Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Plan OpenAI Codex usage from local quota, banked resets and extra-reset forecasts.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"usage-planner": {
"command": "npx",
"args": [
"-y",
"usage-planner"
]
}
}
}Run this in your terminal
claude mcp add usage-planner -- npx -y usage-plannerPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"usage-planner": {
"command": "npx",
"args": [
"-y",
"usage-planner"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"usage-planner": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"usage-planner"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account ItsOdeLeo, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.7) reached the registry 13 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Know how much Codex to use today.
If you find it useful, a ⭐ star helps more people find it.
Runs in your browser · no sign-in · or ask Codex with the plugin
English · 中文简介
Usage Planner (formerly Codex4ever) is a planner for your OpenAI Codex weekly quota. It shows when your quota runs out at your current pace, whether a predicted extra reset is likely to arrive first, and when a banked reset is worth redeeming.
Unofficial; not affiliated with OpenAI. MIT licensed.
Ask once in Codex and the planner opens beside the chat. Pick a strategy and the plan changes: daily usage, refills and run-out points.
The forecast is an uncalibrated model estimate, not a promise. Usage Planner never redeems a reset or spends credits for you.
Codex plugin (Node.js 20+ and a signed-in Codex app or CLI):
codex plugin marketplace add ItsOdeLeo/usage-planner
codex plugin add usage-planner@usage-planner
Start a new Codex chat and ask: *"Open quota planning."* Reading your quota is local and read-only; no separate API key is needed.
Other MCP clients (Claude Code, Claude Desktop, Cursor and others): the same server is on npm as usage-planner and in the MCP Registry as io.github.ItsOdeLeo/usage-planner. Reading your quota still needs a signed-in Codex CLI on the same machine.
{ "mcpServers": { "usage-planner": { "command": "npx", "args": ["-y", "usage-planner"] } } }
Website: usageplanner.com, no install. Enter your quota by hand; everything is calculated in your browser and your inputs are not sent anywhere.
Run locally:
npm install
npm run web # http://127.0.0.1:4173/ npm test
Public reset data comes from Codex Resets, including the bundled offline archive (npm run archive:refresh). Thanks to its maintainer. With an optional X API token, Tibo's full timeline is read directly from X.
| Command | What it does |
|---|---|
npm run web | Local site with live reset evidence (cached 30 minutes) |
npm run site:build | Static site in dist/, evidence collected at build time |
npm run plugin:build | Self-contained Codex plugin in plugins/usage-planner/ |
npm run mcp | MCP server from source |
npm run backtest:public | Day-by-day replay of the forecast against public history |
.github/workflows/deploy-site.yml rebuilds the static site every 30 minutes and deploys it to Cloudflare Pages. Optional settings (LLM classification of posts, X timeline access) are listed in .env.example; keys are only read at build time and never reach the browser.
Design and algorithm details: docs/technical-notes.zh.md (Chinese).
Usage Planner(原名 Codex4ever)是 OpenAI Codex 每周额度的本地规划器:按你当前的速度显示额度什么时候用完、额外 reset 是否可能先到,以及备用 reset 什么时候值得用。预测的 reset 只在“正常刷新前发生的概率 ≥ 60%”时计入,并放在保守时刻;任何一次补满都会重新开始 7 天周期;备用默认至少保留一个。网页、插件页面和插件的 MCP 工具始终使用同一套规则。非官方工具,与 OpenAI 无隶属关系。详细设计见 技术说明。
Built by 欧的Leo — @ItsOdeLeo on X · 小红书 ItsOdeLeo. Feedback and ideas are welcome there or in GitHub issues.